Risk-based optimization of large flood-diversion systems using genetic algorithms

Risk-Cost Optimization of Hydraulic Structures: Methodology and Case Study

“…, x m ); ED(D|x) = total annual expected flood damage cost associated with structural failure; and CRF = capital recovery factor which converts a present value of construction cost into a stream of equal annual values (Peterson 2005). Although risk-based approach has been extensively employed in theoretical literature (Tung 1987;Abrishamchi et al 2003;Afshar et al 2009), it has not achieved much popularity in real-world projects. The principal reason is that construction of mathematical damage functions for calculating ED(D|x) requires comprehensive and accurate information with regard to various flood-related damages which are seldom available in real-life circumstances.…”

“…The problem of diversion system optimization has received very limited attention in technical literature mostly because of its complexity and interaction of a large number of tangible and intangible factors. In a most recent study, Afshar et al (2009) employed risk-based approach to find the optimal dimensions of a hypothetical diversion system. They integrated a comprehensive simulation model under hydrologic and hydraulic uncertainties along with flood routing consideration into a single-objective genetic algorithm to find the minimum total annual expected cost.…”

“…Annual failure risk of hydraulic structures under inherent and parameter hydrologic as well as hydraulic uncertainties can be calculated by a modified formulation presented by Afshar et al (2009):…”

“…During the recent decades, this theoretically popular procedure has been widely used in technical literature for optimization of a variety of hydraulic structures including, but not limited to, flood levee (Tung 1987), highway drainage structures (Tung and Bao 1990), spillway (Afshar and Marino 1990;Abrishamchi et al 2003), and flood diversion system (Afshar et al 1994(Afshar et al , 2009. Risk-based approach has also been employed for evaluation of alternatives to rehabilitating existing dams (McCann et al 1984) and determination of the optimal dam-inspection time interval (Kuo et al 2008).…”

A methodology for optimal operation of pumping stations in urban drainage systems

“…In order to handle uncertainties in design and operational problems, several methodologies such as fuzzy approach (Fu and Kapelan, 2011), approximating techniques (Afshar et al, 2009) and entropy-based methods (Samuel et al, 2013) have been developed. Among them, Monte Carlo Simulation (MCS), which is also used in this study, is known as the most flexible and reliable method (Shrestha, 2009).…”